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  2. School of Engineering
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dc.contributor.authorBenites de Azevedo e Souza, Fernando-
dc.contributor.authorMalmasi, Shervin-
dc.contributor.authorZampieri, Marcos-
dc.date.accessioned2019-01-28T17:27:24Z-
dc.date.available2019-01-28T17:27:24Z-
dc.date.issued2018-
dc.identifier.issn1834-7037de_CH
dc.identifier.urihttps://arxiv.org/pdf/1811.04695.pdfde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/14671-
dc.description.abstractWe present methods for the automatic classification of patent applications using an annotated dataset provided by the organizers of the ALTA 2018 shared task - Classifying Patent Applications. The goal of the task is to use computational methods to categorize patent applications according to a coarse-grained taxonomy of eight classes based on the International Patent Classification (IPC). We tested a variety of approaches for this task and the best results, 0.778 micro-averaged F1-Score, were achieved by SVM ensembles using a combination of words and characters as features. Our team, BMZ, was ranked first among 14 teams in the competition.de_CH
dc.language.isoende_CH
dc.publisherAustralasian Language Technology Associationde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc020: Bibliotheks- und Informationswissenschaftde_CH
dc.titleClassifying patent applications with ensemble methodsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
zhaw.conference.details16th Annual Workshop of The Australasian Language Technology Association (ALTA 2018), Dunedin, New Zealand, 10-12 December 2018de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end92de_CH
zhaw.pages.start89de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume16de_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.title.proceedingsAustralasian language technology association workshop 2018 : proceedings of the workshopde_CH
zhaw.webfeedSoftware Systemsde_CH
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Benites de Azevedo e Souza, F., Malmasi, S., & Zampieri, M. (2018). Classifying patent applications with ensemble methods [Conference paper]. Australasian Language Technology Association Workshop 2018 : Proceedings of the Workshop, 16, 89–92. https://arxiv.org/pdf/1811.04695.pdf
Benites de Azevedo e Souza, F., Malmasi, S. and Zampieri, M. (2018) ‘Classifying patent applications with ensemble methods’, in Australasian language technology association workshop 2018 : proceedings of the workshop. Australasian Language Technology Association, pp. 89–92. Available at: https://arxiv.org/pdf/1811.04695.pdf.
F. Benites de Azevedo e Souza, S. Malmasi, and M. Zampieri, “Classifying patent applications with ensemble methods,” in Australasian language technology association workshop 2018 : proceedings of the workshop, 2018, vol. 16, pp. 89–92. [Online]. Available: https://arxiv.org/pdf/1811.04695.pdf
BENITES DE AZEVEDO E SOUZA, Fernando, Shervin MALMASI und Marcos ZAMPIERI, 2018. Classifying patent applications with ensemble methods. In: Australasian language technology association workshop 2018 : proceedings of the workshop [online]. Conference paper. Australasian Language Technology Association. 2018. S. 89–92. Verfügbar unter: https://arxiv.org/pdf/1811.04695.pdf
Benites de Azevedo e Souza, Fernando, Shervin Malmasi, and Marcos Zampieri. 2018. “Classifying Patent Applications with Ensemble Methods.” Conference paper. In Australasian Language Technology Association Workshop 2018 : Proceedings of the Workshop, 16:89–92. Australasian Language Technology Association. https://arxiv.org/pdf/1811.04695.pdf.
Benites de Azevedo e Souza, Fernando, et al. “Classifying Patent Applications with Ensemble Methods.” Australasian Language Technology Association Workshop 2018 : Proceedings of the Workshop, vol. 16, Australasian Language Technology Association, 2018, pp. 89–92, https://arxiv.org/pdf/1811.04695.pdf.


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